Platform.
To obtain the speedup of SALO, we choose CPU and GPU as the baseline. We test the model performance and the corresponding power consumption on a server CPU (Intel Xeon E5-2630 v3) and a server GPU (GTX 1080Ti). All the experiments of CPU and GPU are conducted with PyTorch [1]} 1.5.0. And we use MKL for CPU and CUDNN for GPU as the backend, which are specially optimized for the architecture.
